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  • Hough transform is a well-known and popular algorithm for detecting lines in raster images.  The standard Hough transform is rather slow to be usable in real-time, so different accelerated and approximated algorithms exist. This paper proposes a modified accumulation scheme for the Hough transform, which makes it suitable for computer systems with small but fast read-write memory -- such as the today's GPUs.  The proposed algorithm is evaluated both on synthetic binary images and on complex real-world photos of high resolutions.  The results show that using today's commodity graphics chips, the Hough transform can be computed at interactive frame rates even with high resolution of the Hough space and with the Hough transform fully computed.
  • Hough transform is a well-known and popular algorithm for detecting lines in raster images.  The standard Hough transform is rather slow to be usable in real-time, so different accelerated and approximated algorithms exist. This paper proposes a modified accumulation scheme for the Hough transform, which makes it suitable for computer systems with small but fast read-write memory -- such as the today's GPUs.  The proposed algorithm is evaluated both on synthetic binary images and on complex real-world photos of high resolutions.  The results show that using today's commodity graphics chips, the Hough transform can be computed at interactive frame rates even with high resolution of the Hough space and with the Hough transform fully computed. (en)
Title
  • Real-Time Line Detection Using Accelerated High-Resolution Hough Transform
  • Real-Time Line Detection Using Accelerated High-Resolution Hough Transform (en)
skos:prefLabel
  • Real-Time Line Detection Using Accelerated High-Resolution Hough Transform
  • Real-Time Line Detection Using Accelerated High-Resolution Hough Transform (en)
skos:notation
  • RIV/00216305:26230/11:PU95989!RIV13-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7H10014), P(LC06008), S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 225863
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/11:PU95989
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Line Detection, Hough-Transform, Real-Time, GPU, CUDA (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7581F4E1EECA]
http://linked.open...v/mistoKonaniAkce
  • Ystad Saltsjöbad
http://linked.open...i/riv/mistoVydani
  • Ystad
http://linked.open...i/riv/nazevZdroje
  • Proceedings of SCIA 2011, LNCS
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Havel, Jiří
  • Herout, Adam
  • Jošth, Radovan
  • Dubská, Markéta
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-21226-0
http://localhost/t...ganizacniJednotka
  • 26230
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